Moritz Wilksch
About Moritz Wilksch
Moritz Wilksch is a Data Scientist at QuantCo with a background in Business Informatics and Data Science, having worked in various roles including teaching and open source development.
Current Role at QuantCo
Moritz Wilksch currently serves as a Data Scientist at QuantCo, stationed in both Berlin and Munich, Germany. His role involves leveraging his expertise in data science and machine learning to drive analytical solutions and insights. His experience with tools such as Python, SQL, and Apache Spark is instrumental in managing data processing, machine learning models, and data visualization tasks.
Previous Roles and Experience
Moritz Wilksch has an extensive background in multiple roles including working as an Open Source Developer in 2022 for a duration of 9 months. Prior to that, he interned at CONSILIO GmbH in Munich, Bavaria in 2018. From 2017 to 2021, he worked as a Teaching Assistant at the University of Potsdam, Potsdam, Brandenburg. Additionally, he has a long tenure as a Tutor at Nachhilfeinstitut GiRA, where he worked from 2016 to 2021.
Educational Background
Moritz holds a Master of Interdisciplinary Data Science from Duke University, completed in 2021. He also achieved a Master of Science in Business Informatics and Digital Transformation from the University of Potsdam, where he studied from 2019 to 2022. His undergraduate education was completed at the University of Potsdam, where he earned a Bachelor of Science in Business Informatics from 2016 to 2019.
Technical Expertise
Moritz Wilksch specializes in Business Informatics with a focus on Data Science and Machine Learning. He has over 3 years of experience in using the Python stack for various data science tasks such as data processing, machine learning, and data visualization. Furthermore, he is proficient with SQL, Apache Spark, MongoDB, DynamoDB, and R. His skill set also includes knowledge of Git, Docker, CI/CD practices, and using IaaS and PaaS services on AWS and GCP. Additionally, he has basic knowledge of Neo4j, ElasticSearch, Java, and C.